Postdoctoral Fellowship in Image Analysis

National Institutes of Health
Location: 
Bethesda
Job Type: 
Full Time
Closing Date: 
Friday, May 26, 2017

Position Description: The Postdoctoral Fellow will support a collaborative research project involving NINDS, Henry Jackson Foundation, and Johns Hopkins University to better understand disease progression in multiple sclerosis (MS) using magnetic resonance imaging (MRI). The fellow will work in NINDS’s Translational Neuroradiology Section under the supervision of Drs. Daniel Reich and Dzung Pham. Experience developing algorithms for medical image analysis, particularly involving brain and lesion segmentation, is highly desirable; experience in MS is preferred but not essential. The successful applicant will be expected to develop robust algorithms for segmentation of brain structure and pathology in MS across multiple data sites. Additional duties include the management and processing of multi-contrast MRI data sets, submission of manuscripts, and presenting at scientific conferences.

Required Knowledge, Skills, and Abilities: Experience in the development and application of image processing algorithms and/or machine learning techniques. Programming experience with Matlab, Python, C, C++ and/or JAVA.

Minimum Education/Training Requirements: Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Science, or a related scientific discipline.

Employer Name: National Institute of Neurological Disorders and Stroke

Position Location: Bethesda, Maryland, USA

How to Apply: Interested applicants should send a cover letter explaining their research background, accomplishments, and goals; their CV; and the names and contact details of three references to Dr. Daniel Reich, (daniel.reich@nih.gov) and/or Dr. Dzung Pham (dzung.pham@nih.gov). The NIH is dedicated to building a diverse community in its training and employment programs.